39 data-"https:"-"https:"-"https:"-"https:"-"https:"-"Here-We-Are" positions at Umeå University
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development, networking, administrative and technical support functions, along with good employment conditions. More information about the department is available at: https://www.umu.se/en/department
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, administrative and technical support functions, along with good employment conditions. More information about the department is available at: https://www.umu.se/en/department-of-computing-science/ Project
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. The project employs several techniques including fluorescence microscopy, electron microscopy, and advanced image data analysis. Duties Establishment of plasma membrane model systems and studies of replication
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with us, you receive the benefits of support in career development, networking, administrative and technical support functions, along with good employment conditions. More information about the
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anaerobic culturing techniques (e.g. anaerobic chamber, bioreactor) and analysis of 16S sequencing data. Furthermore, practical experience in working with mouse models is required. Other requirements
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/other relevant publications Other merits of relevance for the position Contact information to two reference persons Attached documents must be in Word or PDF format. Please note that incomplete
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described in “Focus of the Doctoral Position” 6. Contact details for two references (e.g., previous supervisors) Incomplete applications will not be considered. Further Information For more information about
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preparation of samples for high-throughput sequencing. Proven experience coordinating and processing large numbers of environmental samples, with strong attention to quality control, documentation, and data
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research program that aims to understand the genetic principles of complex trait plasticity and develop climate-resilient plants using innovative techniques such as omics data interpretation, gene editing
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evaluated and validated using uniquely integrated historical datasets comprising environmental, social, demographic, mobility, and epidemiological information. The successful candidate will contribute to a